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Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning

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Computational Collective Intelligence (ICCCI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14162))

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Abstract

This paper proposes a deep transfer learning (TL) model based on Siamese Variational Autoencoder (SVAE) for change detection (CD) in satellite imagery using limited labeled data. The proposed approach has two steps: pre-training the SVAE in the source scene and fine-tuning it for deploying in the target scene for desertification detection. The model was tested using Landsat images from 2001 to 2020 from two study areas in Tunisia’s arid regions. The results were compared with the Siamese Convolutional Neural Network (SCNN) model. Results showed that SVAE outperformed in all metrics with an accuracy of 93%.

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Acknowledgments

We want to thank the Institute of Arid Regions of Medenine, Tunisia, LESOR (Laboratory of Economics and Rural Societies), for providing the ground truth data.

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Authors and Affiliations

  1. RIADI Laboratory, National School of Computer Science, 2010, Manouba, Tunisia

    Farah Chouikhi, Ali Ben Abbes & Imed Riadh Farah

  2. LESOR, Institute of Arid Regions, 4119, Medenine, Tunisia

    Farah Chouikhi

Authors
  1. Farah Chouikhi
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  2. Ali Ben Abbes
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  3. Imed Riadh Farah
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Corresponding author

Correspondence to Farah Chouikhi .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Eötvös Loránd University, Budapest, Hungary

    János Botzheim

  3. Eötvös Loránd University, Budapest, Hungary

    László Gulyás

  4. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  5. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  6. Universität Münster, Münster, Germany

    Gottfried Vossen

  7. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

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Chouikhi, F., Abbes, A.B., Farah, I.R. (2023). Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning. In: Nguyen, N.T., et al. Computational Collective Intelligence. ICCCI 2023. Lecture Notes in Computer Science(), vol 14162. Springer, Cham. https://doi.org/10.1007/978-3-031-41456-5_39

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  • DOI: https://doi.org/10.1007/978-3-031-41456-5_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-41455-8

  • Online ISBN: 978-3-031-41456-5

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